About: RNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humans

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About: RNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humans Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	RNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humans
Creator	Martinón-Torres, Federico Cebey-López, Miriam Gómez-Carballa, Alberto Salas, Antonio Barral-Arca, Ruth Bello, Xabier Currás-Tuala, María Es, Martinon, Federico Pischedda, Sara Torres@sergas, Viz-Lasheras, Sandra
topic	covid:b9e51886f5cc5d545dd0f6912a15cb6e51067223#this
Source	Medline; PMC
abstract	There is a growing interest in unraveling gene expression mechanisms leading to viral host invasion and infection progression. Current findings reveal that long non-coding RNAs (lncRNAs) are implicated in the regulation of the immune system by influencing gene expression through a wide range of mechanisms. By mining whole-transcriptome shotgun sequencing (RNA-seq) data using machine learning approaches, we detected two lncRNAs (ENSG00000254680 and ENSG00000273149) that are downregulated in a wide range of viral infections and different cell types, including blood monocluclear cells, umbilical vein endothelial cells, and dermal fibroblasts. The efficiency of these two lncRNAs was positively validated in different viral phenotypic scenarios. These two lncRNAs showed a strong downregulation in virus-infected patients when compared to healthy control transcriptomes, indicating that these biomarkers are promising targets for infection diagnosis. To the best of our knowledge, this is the very first study using host lncRNAs biomarkers for the diagnosis of human viral infections.
has issue date	2020-04-15(xsd:dateTime)
bibo:doi	10.3390/ijms21082748
bibo:pmid	32326627
has license	cc-by
sha1sum (hex)	b9e51886f5cc5d545dd0f6912a15cb6e51067223
schema:url	https://doi.org/10.3390/ijms21082748
resource representing a document's title	RNA-Seq Data-Mining Allows the Discovery of Two Long Non-Coding RNA Biomarkers of Viral Infection in Humans
has PubMed Central identifier	PMC7215422
has PubMed identifier	32326627
schema:publication	Int J Mol Sci
resource representing a document's body	covid:b9e51886f5cc5d545dd0f6912a15cb6e51067223#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/b9e51886f5cc5d545dd0f6912a15cb6e51067223
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